日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

Development of End-to-End AI-Based MRI Image Analysis System for Predicting IDH Mutation Status of Patients with Gliomas: Multicentric Validation

开发基于人工智能的端到端磁共振成像图像分析系统以预测胶质瘤患者的IDH突变状态：多中心验证

期刊:
影响因子:
doi:10.1007/s10278-023-00918-6
Santinha, João; Katsaros, Vasileios; Stranjalis, George; Liouta, Evangelia; Boskos, Christos; Matos, Celso; Viegas, Catarina; Papanikolaou, Nickolas
胶质瘤
发表日期：2024
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Texture analysis- and support vector machine-assisted diffusional kurtosis imaging may allow in vivo gliomas grading and IDH-mutation status prediction: a preliminary study

纹理分析和支持向量机辅助的扩散峰度成像可能有助于活体胶质瘤分级和IDH突变状态预测：一项初步研究

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-018-24438-4
Bisdas, Sotirios; Shen, Haocheng; Thust, Steffi; Katsaros, Vasileios; Stranjalis, George; Boskos, Christos; Brandner, Sebastian; Zhang, Jianguo
胶质瘤
发表日期：2018
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Prognostic value of preoperative dynamic contrast-enhanced MRI perfusion parameters for high-grade glioma patients

术前动态增强磁共振灌注参数对高级别胶质瘤患者的预后价值

期刊:Neuroradiology
影响因子:2.6
doi:10.1007/s00234-016-1741-7
Ulyte, Agne; Katsaros, Vasileios K; Liouta, Evangelia; Stranjalis, Georgios; Boskos, Christos; Papanikolaou, Nickolas; Usinskiene, Jurgita; Bisdas, Sotirios
胶质瘤
发表日期：2016
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